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An optimized generalized adversarial system for predicting specific substructures in brainstem

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Abstract

Nowadays, the medical field is enriched with rich technologies, especially with a medical image processing system. However, the image complexity has minimized the prediction and segmentation exactness rate requiring additional duration to execute the process. The current design article has focused on developing a novel Bat-based Generative Adversarial Model (BGAM) to gain the finest substructure localization and segmentation results to overcome this difficulty. Here, the fitness of Bat is updated in the classification layer of the generative adversarial approach to gain the tuned results. Finally, the designed model is validated with dual cases that are conventional generative adversarial models without a bat and generative adversarial models with the Bat. Moreover, the evaluation has produced the finest results for BGAM compared to the conventional generative approach. The designed novel approach is executed in a python environment, and the proficiency of the developed system is validated with other associated approaches. It has proved the finest outcome by earning the highest specificity and sensitivity rate.

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Data sharing not applicable to this article as no datasets were generated or analysed during the current study.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, Kallam Haranadhareddy Institute of Technology, Guntur, Andhra Pradesh, 522019, India

    B. Srikanth

  2. Department of Computer Science and Engineering, Lakireddy Bali Reddy College of Engineering, Mylavaram, Andhra Pradesh, 521230, India

    S. Jayaprada

  3. IT Department, Vasireddy Venkatadri Institute of Technology, Nambur, Vijayawada, Andhra Pradesh, India

    K. Kranthi Kumar

  4. Department of Information Technology, S.R. Gudlavalleru Engineering College, Gudlavalleru, Andhra Pradesh, 521356, India

    Kavitha Chaduvula

  5. Department of Computer Science and Engineering, Gudlavalleru Engineering College, Gudlavalleru, Andhra Pradesh, 521356, India

    Babu Rao Markapudi

  6. Department of Computer Science and Engineering, VIT - AP University, Amaravati, Guntur District, Andhra Pradesh, 522237, India

    Syed Khasim

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  1. B. Srikanth
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Srikanth, B., Jayaprada, S., Kumar, K.K. et al. An optimized generalized adversarial system for predicting specific substructures in brainstem. Multimed Tools Appl 82, 7181–7205 (2023). https://doi.org/10.1007/s11042-022-13663-9

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